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Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and
  Accurate Outdoor Obstacles Detection

Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection

27 April 2022
Zeqi Li
Yuwei Wang
Keyu Qiu
Zhibin Yu
ArXivPDFHTML

Papers citing "Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection"

2 / 2 papers shown
Title
Iterative Filter Pruning for Concatenation-based CNN Architectures
Iterative Filter Pruning for Concatenation-based CNN Architectures
Svetlana Pavlitska
Oliver Bagge
Federico Nicolás Peccia
Toghrul Mammadov
J. Marius Zöllner
VLM
3DPC
48
2
0
04 May 2024
Model Compression Methods for YOLOv5: A Review
Model Compression Methods for YOLOv5: A Review
Mohammad Jani
Jamil Fayyad
Younes Al Younes
Homayoun Najjaran
36
14
0
21 Jul 2023
1